Debarshi Roy

653 total citations
19 papers, 432 citations indexed

About

Debarshi Roy is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Debarshi Roy has authored 19 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Debarshi Roy's work include Cancer, Hypoxia, and Metabolism (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Autophagy in Disease and Therapy (5 papers). Debarshi Roy is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Autophagy in Disease and Therapy (5 papers). Debarshi Roy collaborates with scholars based in United States, Germany and India. Debarshi Roy's co-authors include Ashwani Khurana, Viji Shridhar, Eleftheria Kalogera, Susmita Mondal, Jeremy Chien, Deok‐Beom Jung, Viji Shridhar, Sayantani Sarkar Bhattacharya, Julie Staub and Ling Jin and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Cancer.

In The Last Decade

Debarshi Roy

19 papers receiving 428 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Debarshi Roy United States 11 287 175 101 87 82 19 432
Stefania Vossio Switzerland 10 332 1.2× 151 0.9× 66 0.7× 41 0.5× 105 1.3× 12 490
Srikumar Chellappan United States 7 412 1.4× 139 0.8× 32 0.3× 71 0.8× 129 1.6× 10 556
Shuzo Tamura Japan 11 237 0.8× 105 0.6× 58 0.6× 107 1.2× 93 1.1× 22 457
Min-Sik Lee South Korea 10 491 1.7× 166 0.9× 53 0.5× 38 0.4× 179 2.2× 14 629
Margie N. Sutton United States 13 309 1.1× 106 0.6× 154 1.5× 64 0.7× 84 1.0× 24 474
Murielle Glondu-Lassis France 5 289 1.0× 124 0.7× 42 0.4× 70 0.8× 83 1.0× 6 452
Dawn Sijin Nin Singapore 9 212 0.7× 44 0.3× 61 0.6× 51 0.6× 41 0.5× 13 311
Sylvie Michelland France 12 347 1.2× 86 0.5× 54 0.5× 24 0.3× 86 1.0× 21 493
Mingrui Zhu China 10 322 1.1× 98 0.6× 77 0.8× 33 0.4× 149 1.8× 13 510
Eun Ryoung Jang United States 16 506 1.8× 50 0.3× 70 0.7× 47 0.5× 231 2.8× 24 657

Countries citing papers authored by Debarshi Roy

Since Specialization
Citations

This map shows the geographic impact of Debarshi Roy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Debarshi Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debarshi Roy more than expected).

Fields of papers citing papers by Debarshi Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debarshi Roy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Debarshi Roy. The network helps show where Debarshi Roy may publish in the future.

Co-authorship network of co-authors of Debarshi Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Debarshi Roy. A scholar is included among the top collaborators of Debarshi Roy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debarshi Roy. Debarshi Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Parikh, Kaushal, Faye R. Harris, Jay Mandrekar, et al.. (2024). Individualized Cell-Free DNA Monitoring With Chromosomal Junctions for Mesothelioma. JTO Clinical and Research Reports. 5(12). 100692–100692. 1 indexed citations
2.
Roy, Debarshi, et al.. (2024). A New Metric for Measuring Locational Health Access for Cancer Treatment. PubMed. 2024. 6582–6588. 1 indexed citations
3.
Ray, Upasana, Debarshi Roy, Ling Jin, et al.. (2021). Group III phospholipase A2 downregulation attenuated survival and metastasis in ovarian cancer and promotes chemo-sensitization. Journal of Experimental & Clinical Cancer Research. 40(1). 182–182. 12 indexed citations
5.
Hoffmann, Robert, Sayantani Sarkar Bhattacharya, Debarshi Roy, et al.. (2020). Sulfated glycolipid PG545 induces endoplasmic reticulum stress and augments autophagic flux by enhancing anticancer chemotherapy efficacy in endometrial cancer. Biochemical Pharmacology. 178. 114003–114003. 11 indexed citations
6.
Bhattacharya, Sayantani Sarkar, Prabhu Thirusangu, Ling Jin, et al.. (2019). PFKFB3 inhibition reprograms malignant pleural mesothelioma to nutrient stress-induced macropinocytosis and ER stress as independent binary adaptive responses. Cell Death and Disease. 10(10). 725–725. 32 indexed citations
8.
Mondal, Susmita, Debarshi Roy, Sayantani Sarkar Bhattacharya, et al.. (2018). Therapeutic targeting of PFKFB3 with a novel glycolytic inhibitor PFK158 promotes lipophagy and chemosensitivity in gynecologic cancers. International Journal of Cancer. 144(1). 178–189. 120 indexed citations
9.
Jung, Deok‐Beom, Ashwani Khurana, Debarshi Roy, et al.. (2018). Quinacrine upregulates p21/p27 independent of p53 through autophagy-mediated downregulation of p62-Skp2 axis in ovarian cancer. Scientific Reports. 8(1). 2487–2487. 43 indexed citations
10.
Roy, Debarshi, et al.. (2018). Arachidonic Acid Induces the Migration of MDA-MB-231 Cells by Activating Raft-associated Leukotriene B4 Receptors. PubMed. 5(1). 28–41. 8 indexed citations
11.
Roy, Debarshi, Susmita Mondal, Ashwani Khurana, et al.. (2017). Loss of HSulf-1: The Missing Link between Autophagy and Lipid Droplets in Ovarian Cancer. Scientific Reports. 7(1). 41977–41977. 15 indexed citations
12.
Kalogera, Eleftheria, Debarshi Roy, Ashwani Khurana, et al.. (2017). Quinacrine in endometrial cancer: Repurposing an old antimalarial drug. Gynecologic Oncology. 146(1). 187–195. 23 indexed citations
13.
Winterhoff, Boris, Edward Hammond, Shailendra Giri, et al.. (2015). PG545 enhances anti-cancer activity of chemotherapy in ovarian models and increases surrogate biomarkers such as VEGF in preclinical and clinical plasma samples. European Journal of Cancer. 51(7). 879–892. 55 indexed citations
14.
Mondal, Susmita, Debarshi Roy, Juliana Camacho-Pereira, et al.. (2015). HSulf-1 deficiency dictates a metabolic reprograming of glycolysis and TCA cycle in ovarian cancer. Oncotarget. 6(32). 33705–33719. 26 indexed citations
15.
Khurana, Ashwani, Debarshi Roy, Eleftheria Kalogera, et al.. (2015). Quinacrine promotes autophagic cell death and chemosensitivity in ovarian cancer and attenuates tumor growth. Oncotarget. 6(34). 36354–36369. 55 indexed citations
16.
Mondal, Susmita, Debarshi Roy, Ashwani Khurana, et al.. (2015). Abstract 2706: Inhibition of PFKFB3/glycolysis overcomes chemoresistance in ovarian cancers. Cancer Research. 75(15_Supplement). 2706–2706. 1 indexed citations
17.
He, Xiaoping, Ashwani Khurana, Debarshi Roy, Scott H. Kaufmann, & Viji Shridhar. (2014). Loss of HSulf-1 expression enhances tumorigenicity by inhibiting Bim expression in ovarian cancer. International Journal of Cancer. 135(8). 1783–1789. 13 indexed citations
18.
Mondal, Susmita, et al.. (2014). Abstract 3360: Loss of sulf-1 reprograms energy metabolism in ovarian cancer. Cancer Research. 74(19_Supplement). 3360–3360. 1 indexed citations
19.
Roy, Debarshi, Parijat Kabiraj, & Rituraj Pal. (2013). EF24 prevents rotenone‐induced estrogenic status alteration in breast cancer. Cell Biology International. 38(4). 511–519. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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